Danil Provodin
Machine Learning Scientist at Booking.com
Nijmegen, Gelderland, Netherlands
Summary
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Senior🎓
Top SchoolDanil Provodin is a Machine Learning Scientist and PhD candidate with eight years’ experience applying statistical ML, bandits, and reinforcement learning to real-world personalization and decision systems. He has translated theoretical research into production impact through collaborations with KPN and industry internships at Zalando and Booking.com, where he built RL-based bidding and recommendation tools. His background spans risk modeling in finance and data-driven marketing optimization, giving him a rare cross-domain view of causal inference and sequential decision making. A strong quantitative foundation from NSU and HSE underpins his work, and he enjoys tackling complex problems that turn rigorous theory into creative, deployable solutions.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Leanring, Bandits, Reinforcement Learning, Doctor of Philosophy - PhD, Machine Leanring, Bandits, Reinforcement Learning at Eindhoven University of TechnologyMaster's degree, Economics, 8/10, Master's degree, Economics, 8/10 at Higher School of EconomicsBachelor's degree, Mathematics, 4.7/5, Bachelor's degree, Mathematics, 4.7/5 at Novosibirsk State University (NSU)Programming languages (1)
Github contributions (5)
danilprov/batch-bandits
Oct 2021 - Sep 2022
Contributions:19 commits, 15 pushes in 10 months
danilprov/cmdp
Sep 2022 - Jul 2024
[ICML 2024] Code for the paper "Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling"
Contributions:5 PRs, 19 pushes, 8 branches in 1 year 10 months
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